habom2310/people-tracking-with-age-and-gender-detection

A combination between people tracking and age and gender detection

People-tracking-with-Age-and-Gender-detection

A combination between people tracking and age and gender detection

Abstract

• Combining people tracking with age and gender detection is a good idea for many and many applications in real life scenarios such as caffe store management to gather the information of customers for further analysis, or in/out people control for security purposes in buildings ...
• This is just a small step of putting the state-of-the-art image processing techniques together.

Method

• Firstly, faces are detected in the frame using the famous caffe model res10_300x300_ssd_iter_140000.caffemodel.
• Secondly, age and gender of every person is predicted also using caffe models age_net and gender_net.
• Each person is then assigned an ID and tracked over time, even when they are out of the frame for not so long (5 seconds), whenever they come back in the frame, their ID will remain the same.
• A picture of the person is then saved with the information of him/her.

Requirements

pip install requirements.txt

Implementation

python detect_and_tracker.py

Result

• I can get 16fps in my Core i5 desktop with the solution of 640x480.
• If you want to train your own models for age and gender detection, have a look at https://github.com/dpressel/rude-carnie.

References

A great thank to those who have done fantastic work

• https://github.com/eveningglow/age-and-gender-classification
• https://www.pyimagesearch.com/2018/07/23/simple-object-tracking-with-opencv/

Notes

• Inform me in case you have any problem with running the code.
• Any related idea is welcome at [email protected]

people-tracking-with-age-and-gender-detection's Issues

make you tube video

sir can you make a step by step video on youtube please

Traceback (most recent call last): File "object_tracker.py", line 69, in <module> detections = net.forward() cv2.error: OpenCV(4.0.0) /io/opencv/modules/dnn/src/layers/convolution_layer.cpp:236: error: (-215:Assertion failed) blobs.size() != 0 in function 'getMemoryShapes'

this is the following output :
File "object_tracker.py", line 69, in
detections = net.forward()

cv2.error: OpenCV(4.0.0) /io/opencv/modules/dnn/src/layers/convolution_layer.cpp:236: error: (-215:Assertion failed) blobs.size() != 0 in function 'getMemoryShapes'

how can i resolve this.

PyImageSearch could not be downloaded

ERROR: Could not find a version that satisfies the requirement pyimagesearch (from versions: none)
ERROR: No matching distribution found for pyimagesearch

error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

This is the error

Traceback (most recent call last):
File "object_tracker.py", line 87, in
blob2 = cv2.dnn.blobFromImage(face_img, 1, (227, 227), MODEL_MEAN_VALUES, swapRB=False)
cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\imgproc\src\resize.cpp:3718: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

[ WARN:0] terminating async callback

where to get age_net.caffemodel?

Hi,
thanks for your work!
I tried running the file but I got the following:
: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open i "age_gender_models/age_net.caffemodel" in function 'cv::dnn::ReadProtoFromBinaryFile'
I understand that the age_net.cafeemodel is missingso where can I get it ?

Thanks,

NameError: name 'gender' is not defined

Getting this error:

(base) ariv1-mac:People-tracking-with-Age-and-Gender-detection ariv$ python detect_and_tracker.py
[INFO] loading models...
[INFO] starting video stream...
Traceback (most recent call last):
File "detect_and_tracker.py", line 93, in
overlay_text = "%s, %s" % (gender, age)
NameError: name 'gender' is not defined